Evidence map›Paper›PMID 29802498›Full record

ArticleThe international journal of cardiovascular imaging2018

Quantification of coronary atherosclerotic burden with coronary computed tomography angiography: adapted Leaman score in Croatian patients.

Petar Medakovic, Zrinka Biloglav, Ivan Padjen, Ivan Pristas, Mladen Jukic, Franko Zuvela, Gordana Ivanac, Boris Brkljacic, Tena Jukic, Lana Turk

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Article in The international journal of cardiovascular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Petar MedakovicDepartment of Radiology, Polyclinic Sunce, Trnjanska cesta 108, 10000, Zagreb, Croatia. petar.medakovic@sunce.hr.ORCID http://orcid.org/0000-0002-7173-8286
Zrinka BiloglavDepartment of Medical Statistics, Epidemiology and Medical Informatics, School of Public Health Andrija Stampar, University of Zagreb, School of Medicine, Zagreb, Croatia.
Ivan PadjenDivision of Clinical Immunology and Rheumatology, Department of Internal Medicine, University Hospital Centre Zagreb, Zagreb, Croatia.
Ivan PristasCroatian Institute for Public Health, Zagreb, Croatia.
Mladen JukicDepartment of Radiology, Polyclinic Sunce, Trnjanska cesta 108, 10000, Zagreb, Croatia.
Franko ZuvelaMinistry of Defence of the Republic of Croatia, Zagreb, Croatia.
Gordana IvanacDepartment of Diagnostic and Interventional Radiology, University Hospital Dubrava, Zagreb, Croatia.
Boris BrkljacicDepartment of Diagnostic and Interventional Radiology, University Hospital Dubrava, Zagreb, Croatia.
Tena JukicUniversity of Zagreb, School of Medicine, Zagreb, Croatia.
Lana TurkUniversity of Zagreb, School of Medicine, Zagreb, Croatia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the study was to quantify the total coronary atherosclerotic burden in patients with suspected coronary artery disease (CAD) defined by coronary computed tomography adapted Leaman score (CT-LeSc) and to estimate its cut-off level for high coronary atherosclerotic burden. We enrolled 434 consecutive patients referred to coronary computed tomography angiography, of which 261 patients fulfilled the study inclusion criteria. Demographic and clinical characteristics, as well as CAD risk factors were obtained. CAD pre-test probabilities were estimated by the Diamond-Forrester model and Morise score. The coronary atherosclerotic burden was estimated using CT-LeSc. As a cut-off for a high coronary atherosclerotic burden, we used 3rd tercile (Tc3) (CT-LeSc ≥ 5.52). We evaluated the association of clinical characteristics and risk factors with Tc3 in univariate and multivariate analysis. There were 60.9% males and 39.1% females, 81% of patients had above-normal weight, 68.2% hypertension, 54.0% dyslipidemia, 15.3% diabetes mellitus, 12.3% positive smoking history and 11.9% had a family history of CAD. According to the Diamond-Forrester model and Morise score the majority of patients had intermediate risk, 59.7 and 52.8%, followed by the high-risk group, 36.0 and 34.4%, respectively. Age, dyslipidemia, hypertension and pre-test risk scores in the univariate analysis significantly predicted Tc3. In the multivariate analysis, male sex (p = 0.004), dyslipidemia (p = 0.002) and coronary calcium score (< 0.001) were identified as predictors of Tc3. CT-LeSc quantified the total coronary atherosclerotic burden and showed an association of risk factors and pre-test probabilities with Tc3.

Indexed as

Computed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCost of IllnessCroatiaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPlaque, AtheroscleroticPredictive Value of TestsRisk AssessmentRisk FactorsCoronary atherosclerotic burdenCoronary CT angiographyCT-adapted Leaman scorePre-test probability

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.